class_docstr: An experimental 'lightweight' that sums avg + max pool first
      
code: def forward(self, x):
      x_pool = 0.5 * x.mean((2, 3), keepdim=True) + 0.5 * x.amax(
          (2, 3), keepdim=True
      )
      x_attn = self.fc2(self.act(self.fc1(x_pool)))
      return x * F.sigmoid(x_attn)
  
imports: import torch
  from torch import nn
  import torch.nn.functional
  from .conv_bn_act import ConvNormAct
  from .create_act import create_act_layer, get_act_layer
  from .helpers import make_divisible
label_desc: Use image node_id 2 for calling the LightChannelAttn obj's underlying member method code with example usage: obj.forward(x) and returns: unknown